Speaker diarization answers the question of “who spoke when?" in a given conversation [1]}, [2]}.
Diarization is used in many conversational AI systems and applied in various domains such as telephone conversations, broadcast news, meetings, clinical recordings, and many more [2]}.
Modern diarization systems rely on neural speaker embeddings coupled with a clustering algorithm.
